BackgroundPrior studies demonstrate the suitability of natural language processing (NLP) for identifying pneumonia in chest radiograph (CXR) reports, however, few evaluate this approach in intensive care unit (ICU) patients.MethodsFrom a total of 194,615 ICU reports, we empirically developed a lexicon to categorize pneumonia-relevant terms and uncertainty profiles. We encoded lexicon items into unique queries within an NLP software application and designed an algorithm to assign automated interpretations (‘positive’, ‘possible’, or ‘negative’) based on each report’s query profile. We evaluated algorithm performance in a sample of 2,466 CXR reports interpreted by physician consensus and in two ICU patient subgroups including those admitted for pneumonia and for rheumatologic/endocrine diagnoses.ResultsMost reports were deemed ‘negative’ (51.8%) by physician consensus. Many were ‘possible’ (41.7%); only 6.5% were ‘positive’ for pneumonia. The lexicon included 105 terms and uncertainty profiles that were encoded into 31 NLP queries. Queries identified 534,322 ‘hits’ in the full sample, with 2.7 ± 2.6 ‘hits’ per report. An algorithm, comprised of twenty rules and probability steps, assigned interpretations to reports based on query profiles. In the validation set, the algorithm had 92.7% sensitivity, 91.1% specificity, 93.3% positive predictive value, and 90.3% negative predictive value for differentiating ‘negative’ from ‘positive’/’possible’ reports. In the ICU subgroups, the algorithm also demonstrated good performance, misclassifying few reports (5.8%).ConclusionsMany CXR reports in ICU patients demonstrate frank uncertainty regarding a pneumonia diagnosis. This electronic tool demonstrates promise for assigning automated interpretations to CXR reports by leveraging both terms and uncertainty profiles.
The Comparative Activity of Carbapenems Testing (COMPACT) Study was designed to determine the in vitro potency of doripenem compared with imipenem and meropenem against a large number of contemporary Gram-negative pathogens from more than 100 centres across Europe and the Asia-Pacific region and to assess the reliability of Etest methodology for doripenem minimum inhibitory concentration (MIC) determination against these pathogens. Data from eight countries within the Asia-Pacific region, which collected 1612 bacterial isolates, are presented here. Etest methodology was found to be a reliable method for MIC determination. Doripenem showed in vitro activity similar to or better than meropenem and at least four-fold better than imipenem against Enterobacteriaceae. Against Pseudomonas aeruginosa, doripenem was also the most active of the three carbapenems in vitro. However, in vitro results do not necessarily correlate with clinical outcome.
Background. Inequities in health care exist in the Philippines due to various modifiable and non-modifiable determinants. Through the years, different interventions were undertaken by the government and various stakeholders to address these inequities in primary care. However, inequities still continue to persist. The enactment of the Universal Health Care (UHC) Act aims to ensure that every Filipino will have equitable access to comprehensive and quality health care services by strengthening primary care. As a step towards UHC, the government endeavors to guarantee equity by prioritizing assistance and support to underserved areas in the country. This paper aims to review different interventions to promote equity in the underserved areas that could aid in needs assessment. Methods. A search through PUBMED and Google Scholar was conducted using the keywords, “inequity,” “primary care” and “Philippines.” The search yielded more than 10,000 articles which were further filtered to publication date, relevance to the topic, and credibility of source. A total of 58 full-text records were included in the review. Results and Discussion. In the Philippines, inequities in primary care exist in the context of health programs, facilities, human health resources, finances, and training. These were recognized by various stakeholders, from government and private sector, and nongovernment organizations, taking actions to address inequities, applying different strategies and approaches but with a shared goal of improving primary care. On another end, social accountability must also be instilled among Filipinos to address identified social and behavioral barriers in seeking primary care. With political commitment, improvement in primary care towards health equity can be achieved. Conclusion and Recommendation. To address inequities in primary care, there is a need to ensure adequate human resources for health, facilities, supplies such as medications, vaccination, clean water, and sources of funds. Moreover, regular conduct of training on healthcare services and delivery are needed. These will capacitate health workers and government leaders with continuous advancement in knowledge and skills, to be effective providers of primary care. Institutionalizing advocacy in equity through policies in healthcare provision would help realize the aims of the Universal Health Care Act.
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